Considerations For Scaling GPU-Ready Data Centers

Enterprise and hyperscale data centers are increasingly being built around workloads using Artificial Intelligence (AI) and computationallyintensive Deep Neural Networks (DNNs) with massive amounts of data. The level of computation required is significant and benefits greatly from the power of GPUs. They’re massively parallel, optimized for high memory bandwidth, and designed for the AI-class matrix multiplication and analytics needed for fast data insight.

Data centers that support GPU servers with dense, high-power racks using advanced cooling techniques like water cooling and hot aisle containment use significantly less floor space.